class_docstr: A subclass of ``torch.nn.Module`` that wraps a C++ frontend module and delegates all access.
class_docstr_tok: ["A","subclass","of","``","torch.nn.Module","``","that","wraps","a","C++","frontend","module","and","delegates","all","access","."]
code: def training(self, mode):
      self.cpp_module.train(mode)
  
file_path: pytorch/torch/nn/cpp.py
imports: from torch import nn
label_desc: Use image node_id 4 for calling the ModuleWrapper obj's underlying member method code with example usage: obj.training(mode) without return types